A Knowledge Fusion Framework in the Grid Environment. - Jin Gou; Jiangang Yang; Hengnian Qi (International Conference on Computational Science, 2004)

Evolution of local pattern in KB-grid system. - Jin Gou; Jiangang Yang; Zhuo Lai (SMC (4), 2004)

Research on rough set theory extension and rough reasoning. - Yunliang Jiang; Congfu Xu; Jin Gou; Zuxin Li (SMC (6), 2004)

Image Compression Method Using Improved PSO Vector Quantization. - Qian Chen; Jiangang Yang; Jin Gou (ICNC (3), 2005)

Evolution and Evaluation in Knowledge Fusion System. - Jin Gou; Jiangang Yang; Qian Chen (IWINAC (2), 2005)

Audio-Visual System for Robust Speaker Recognition. - Jiangang Yang; Qian Chen; Jin Gou (MLMTA, 2005)

An ACO-based Approach to Improve C-means Clustering Algorithm. - Wenliang Huang; Jin Gou; Huifeng Wu (CIMCA/IAWTIC, 2006)

Knowledge Fusion: A New Method to Share and Integrate Distributed Knowledge Sources. - Jin Gou; Yangyang Wu; Wei Luo (EC-TEL, 2006)

A New Self-Adapting Knowledge Fusion System. - Jin Gou; Yunliang Jiang; Yangyang Wu; Wei Luo (FSKD (3), 2007)

A Requirement-driven Knowledge Fusion Model Using Seed Optimization. - Jin Gou; Yangyang Wu; Wei Luo (IC-AI, 2007)

A Genetic Algorithm Based on Evolutionary Direction. - Zhiqiang Zhao; Jin Gou; Yunliang Jiang; Da-xiong Wang (ICFIE, 2009)

N-D Normal Membership Cloud Model Based on Region Partition. - Jin Gou; Zhiqiang Zhao; Weibin Chen; Wei Luo (J. Softw., 2010)

Extended local tangent space alignment for classification. - Jing Wang; Wenxian Jiang; Jin Gou (Neurocomputing, 2012)

Adaptive differential evolution with directional strategy and cloud model. - Jin Gou; Wang-Ping Guo; Feng Hou; Cheng Wang 020; Yiqiao Cai (Appl. Intell., 2015)

Mining Fuzzy Association Rules Based on Parallel Particle Swarm Optimization Algorithm. - Jin Gou; Fei Wang; Wei Luo (Intell. Autom. Soft Comput., 2015)

Improving Wang-Mendel method performance in fuzzy rules generation using the fuzzy C-means clustering algorithm. - Jin Gou; Feng Hou; Wenyu Chen; Cheng Wang 020; Wei Luo (Neurocomputing, 2015)

Online learning 3D context for robust visual tracking. - Bineng Zhong; Yingju Shen; Yan Chen 017; Weibo Xie; Zhen Cui 001; Hongbo Zhang 002; Duansheng Chen; Tian Wang 001; Xin Liu 011; Shu-Juan Peng; Jin Gou; Ji-Xiang Du; et al. (Neurocomputing, 2015)

The Normalized-PSO and Its Application in Attribute Weighted Optimal Problem. - Jinjie Gou; Cheng Wang 020; Wei Luo; Jin Gou (TSA, 2016)

An improved Wang-Mendel method based on the FSFDP clustering algorithm and sample correlation. - Jin Gou; Zongwen Fan; Cheng Wang 020; Wei Luo; Haixiao Chi (J. Intell. Fuzzy Syst., 2016)

Improved Differential Evolution With a Modified Orthogonal Learning Strategy. - Yu-Xiang Lei; Jin Gou; Cheng Wang 020; Wei Luo; Yiqiao Cai (IEEE Access, 2017)

A novel improved particle swarm optimization algorithm based on individual difference evolution. - Jin Gou; Yu-Xiang Lei; Wang-Ping Guo; Cheng Wang 020; Yiqiao Cai; Wei Luo (Appl. Soft Comput., 2017)

Fuzzy model identification based on fuzzy-rule clustering and its application for airfoil noise prediction. - Zongwen Fan; Jin Gou; Cheng Wang 020; Wei Luo (J. Intell. Fuzzy Syst., 2017)

A multi-strategy improved particle swarm optimization algorithm and its application to identifying uncorrelated multi-source load in the frequency domain. - Jin Gou; Wang-Ping Guo; Cheng Wang 020; Wei Luo (Neural Comput. Appl., 2017)

Predicting Alzheimer's Disease Using LSTM. - Xin Hong; Rongjie Lin; Chenhui Yang; Nianyin Zeng; Chunting Cai; Jin Gou; Jane Yang (IEEE Access, 2019)

Adaptive Differential Evolution Algorithm Based on Restart Mechanism and Direction Information. - Ya-Xuan Zhang; Jin Gou (IEEE Access, 2019)

Collaborative filtering recommendation system based on trust-aware and domain experts. - Jin Gou; Junjie Guo; Lu Zhang; Cheng Wang 020 (Intell. Data Anal., 2019)

h-DBSCAN: A simple fast DBSCAN algorithm for big data. - Shaoyuan Weng; Jin Gou; Zongwen Fan (ACML, 2021)

Causal Reasoning Model Based on Medical Knowledge Graph for Disease Diagnosis. - Ze Xu; Huazhen Wang; Xiaocong Liu; Ting He 002; Jin Gou (MMBD/MLIS, 2021)

The Research and Implementation of Intelligent Reading Assistant System Framework Based on Knowledge Graph. - Jianxuan Zhao; Huazhen Wang; Xiaofeng Wang; Jin Gou (WSSE, 2021)

Leveraging neighborhood session information with dual attentive neural network for session-based recommendation. - Yuan Wu; Jin Gou (Neurocomputing, 2021)

Double anchor embedding for accurate multi-person 2D pose estimation. - Zhiqian Zhang; Yanmin Luo 001; Jin Gou (Image Vis. Comput., 2021)

Session-based recommendation with temporal convolutional network to balance numerical gaps. - Weinan Li; Jin Gou; Zongwen Fan (Neurocomputing, 2022)

A reinforcement learning-based weight fusion algorithm for house price prediction. - Yige Zhang; Zongwen Fan; Jin Gou (ICTAI, 2023)

Predicting secondary school student performance using a double particle swarm optimization-based categorical boosting model. - Zongwen Fan; Jin Gou; Cheng Wang 020 (Eng. Appl. Artif. Intell., 2023)

Predicting body fat using a novel fuzzy-weighted approach optimized by the whale optimization algorithm. - Zongwen Fan; Jin Gou (Expert Syst. Appl., 2023)

Dual-graph with non-convex sparse regularization for multi-label feature selection. - Zhenzhen Sun; Hao Xie; Jinghua Liu; Jin Gou; Yuanlong Yu (Appl. Intell., 2023)

A perception-enhancement network for accurate multi-person 2D pose estimation. - Yanmin Luo 001; Zhilong Ou; Zhiqian Zhang; Jin Gou; Jing-Ming Gou (Appl. Intell., 2023)

An ensemble machine learning approach for classification tasks using feature generation. - Wenjuan Feng; Jin Gou; Zongwen Fan; Xiang Chen (Connect. Sci., 2023)

A Feature Fusion-Based ResNet Using the Pooling Pyramid for Age Estimation. - Chuanze Lin; Jin Gou; Zongwen Fan; Yongxin Liao (IJCNN, 2024)

A multi-label network attack detection approach based on two-stage model fusion. - Yongqing Huang; Jin Gou; Zongwen Fan; Yongxin Liao; Yanmin Zhuang (J. Inf. Secur. Appl., 2024)

A Novel Fuzzy Feature Generation Approach for Happiness Prediction. - Zongwen Fan; Jin Gou; Shaoyuan Weng (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A fast DBSCAN algorithm using a bi-directional HNSW index structure for big data. - Shaoyuan Weng; Zongwen Fan; Jin Gou (Int. J. Mach. Learn. Cybern., 2024)

An Unbiased Fuzzy Weighted Relative Error Support Vector Machine for Reverse Prediction of Concrete Components. - Zongwen Fan; Jin Gou; Shaoyuan Weng (IEEE Trans. Artif. Intell., 2024)

A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction. - Zongwen Fan; Jin Gou; Shaoyuan Weng (IEEE Trans. Knowl. Data Eng., 2024)

A Novel Multi-stage Ensemble Method for Noisy Labels Using Sample Selection and Label Correction. - Zhihong Yu; Zongwen Fan; Jin Gou (ICIC (10), 2025)

A importance-based ensemble method using an adaptive threshold searching for feature selection. - Yanmin Zhuang; Zongwen Fan; Jin Gou; Yongqing Huang; Wenjuan Feng (Expert Syst. Appl., 2025)

Complementary CatBoost based on residual error for student performance prediction. - Zongwen Fan; Jin Gou; Shaoyuan Weng (Pattern Recognit., 2025)

A hybrid feature selection and aggregation strategy-based stacking ensemble technique for network intrusion detection. - Yongqing Huang; Guoqing Chen; Jin Gou; Zongwen Fan; Yongxin Liao (Appl. Intell., 2025)